Large Language Model Enhanced Knowledge Representation Learning: A Survey

Abstract Knowledge Representation Learning (KRL) is crucial for enabling applications of symbolic knowledge from Knowledge Graphs (KGs) to downstream tasks by projecting knowledge facts into vector spaces. Despite their effectiveness in modeling KG structural information, KRL methods are suffering f...

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Hlavní autoři: Xin Wang, Zirui Chen, Haofen Wang, Leong Hou U, Zhao Li, Wenbin Guo
Médium: Artigo
Jazyk:Inglês
Vydáno: SpringerOpen 2025-04-01
Edice:Data Science and Engineering
Témata:
Knowledge graph
Large language model
Knowledge representation learning
On-line přístup:https://doi.org/10.1007/s41019-025-00285-y
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